Meta will cut thousands of jobs next month as it spends more than ever on artificial intelligence (AI) projects. The company informed employees that it plans to reduce its workforce by approximately 10%, or 8,000 staff, while also not filling additional open positions. The layoffs are driven by increased spending in areas like AI, which is expected to cost Meta about $135 billion this year—equivalent to the total AI spending of the past three years combined.
A spokesperson for Meta confirmed the job cuts but declined to comment further. CEO Mark Zuckerberg hinted at these layoffs back in January and noted the productivity boost employees have gained from using AI tools. He mentioned that individuals could now handle projects that would have previously required large teams, suggesting that significant changes in work dynamics driven by AI are imminent.
This represents Meta's largest round of layoffs since early 2023, following multiple previous cuts that totaled around 2,000 employees this year alone. The trend is reflective of the broader tech industry, where companies like Amazon, Oracle, and others are also laying off thousands as they invest heavily in AI innovation. As Meta adjusts its focus towards AI model development and efficiency, the decision to reduce staff marks a significant shift in its operational strategy.
A spokesperson for Meta confirmed the job cuts but declined to comment further. CEO Mark Zuckerberg hinted at these layoffs back in January and noted the productivity boost employees have gained from using AI tools. He mentioned that individuals could now handle projects that would have previously required large teams, suggesting that significant changes in work dynamics driven by AI are imminent.
This represents Meta's largest round of layoffs since early 2023, following multiple previous cuts that totaled around 2,000 employees this year alone. The trend is reflective of the broader tech industry, where companies like Amazon, Oracle, and others are also laying off thousands as they invest heavily in AI innovation. As Meta adjusts its focus towards AI model development and efficiency, the decision to reduce staff marks a significant shift in its operational strategy.
